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WORKLOAD SERIES – PART IV

SNOWFLAKE DISCOVER

SUMMIT 2023 – HIGHLIGHTS
WHAT’S NEW

One Platform. Multiple Workloads.
Keynote – 10 Sessions – Live – Virtual
July 19 & 20

Register – IST | SGT | HKT – Time Friendly            Register – AEST | SGT | HKT – Time Friendly    

WHAT TO EXPECT

Snowflake Discover – Summit 2023 Highlights + What’s New will deliver the latest technical updates focused on Delivering AI/ML Without Tradeoffs, Simplifying Architectures and Operations and Deploying Distributing & Monetising Apps. This edition will help to develop your expertise in each area via 45 minute what/why and demo step-by-step how to technical sessions. Built for technical professionals at different levels of expertise, the event will deliver an end-to-end immersive experience via a Keynote Recap and 10 unique sessions and live Q&A.

Discover is a live, virtual enablement event designed to share and explore what is possible with The Data Cloud.

 

WHAT YOU WILL EXPLORE & LEARN

  • Keynote Highlights – Data, Apps, Generative AI
  • What’s New in Data Science – Delivering Generative AI, ML Without Tradeoffs
  • Enhancing Feature Engineering with Snowflake and ML Modelling
  • Operationalising Snowpark Python
  • Cross-Cloud Platform Innovations and Cost & Performance Optimisations
  • Maximising Snowflake Performance: A Comprehensive Best Practice Guide
  • Reduce Ingestion Costs with Snowpipe Streaming and Dynamic Tables
  • What’s New: Snowflake Native App Framework
  • Self-Service Analytics on Streamlit
  • Introduction to what’s possible with LLMs on Snowflake
  • Snowflake on Snowflake: A Streamlit App for Addressing Cyber Data Hygiene

 

WHO SHOULD ATTEND

Snowflake Discover have been designed for individuals with limited to extensive experience using Snowflake who are looking to get-started of expanding their skill and confidence with the Data Cloud – including IT Managers, Data Architects, Engineers, Scientists, Administrators and Developers.

REGISTER

IST | SGT TIME FRIENDLY

To register AEST | NZST | SGT Time Friendly click here

JOIN US – SNOWFLAKE DISCOVER

 

CONTENT LEVEL GUIDE

Level 100 - Introductory

Sessions provide a step-by-step overview of the topic, designed for professionals that are new to the subject area

Level 200 - Intermediate

Sessions provide technical deployment best-practice including demos, designed for professional that have an introductory understanding of the subject area

Level 300 - Advanced

Technical step-step deep-dive designed for professionals familiar with the subject area, with or without direct implementation experience

AGENDA – IST | SGT – TIME FRIENDLY

For AEST | NZST | SGT | HKT – Time Friendly – please click here.

                            WEDNESDAY 19 JULY
Keynote

10:00 AM IST | 12:30 PM SGT

Snowflake Summit | Keynote Highlights - What's New - Latest Updates & Announcements
Session Descriptor

Think you know Snowflake? Think again. Snowflake has been on a journey to break down silos to help organisations put their data to work. From high-performance analytics at scale to global collaboration across shared data to enabling full programmability without sacrificing governance, Snowflake has redefined what’s possible with data.

 

The Snowflake Data Cloud enhances collaboration across multiple teams to go from raw data to production-grade data pipelines, machine learning models, and applications, but how? At Snowflake Summit we unveil the next wave of innovations – including advancements in open table formats, generative AI and LLMs, flexible programmability with Snowpark, and much more.

 

At Snowflake Summit we unveiled the next wave of innovations – including advancements in open table formats, generative AI and LLMs, flexible programmability with Snowpark, and much more. Join Natalie Mead – VP Sales Engineering APJ – to explore the latest announcements, technical demos, and learn how you can accelerate with the Data Cloud.

Simplifying Architectures and
Operations

11:30 AM IST | 2:00 PM SGT

Level 100 - What's New: Cross-Cloud Platform Innovations and Cost & Performance Optimisations
Session Descriptor

Join us to hear the latest Snowflake platform innovations including new out-of-the-box performance improvements, advanced analytics capabilities and enhanced business continuity.

 

You’ll also learn new ways to monitor, control and optimise spend alongside our latest built-in workload optimisation.

12:15 PM IST | 2:45 PM SGT

Level 200 - Maximizing Snowflake Performance:
A Comprehensive Best Practice Guide
Session Descriptor

Do you ever wonder about the lifecycle of a Snowflake query?

 

And how to investigate and understand factors that impact your query performance? This session aims to address these questions and more while providing actionable insights and practical tips to help you improve query performance.

 

Topics addressed include a comprehensive overview of Snowflake query performance, covering the lifecycle of a Snowflake query, the Snowflake optimiser, factors affecting query performance and best practices to improve performance.

 

Participants will gain a deeper understanding of the fundamentals of the Snowflake compiler and optimiser, learn troubleshooting techniques to identify performance bottlenecks and see how Snowflake features and services can optimize query performance for different scenarios.

Delivering AI/ML
Without Tradeoffs

1:00 PM IST | 3:30 PM SGT

Level 100 - What's New in Data Science - Delivering AI/ML Without Tradeoffs
Session Descriptor

Productising ML models, programmability and processing data to generate insights are the top 3 P’s of data scientists but they often struggle with them. Join us in this session to learn how you can use Snowflake as the data cloud platform to power your ML workloads without having to worry about security and governance.

 

Learn how the Snowpark ML Model Development API can help data scientists to build models, empower ML engineers to maintain their ML pipelines and streamline MLOps, and assist data analysts with pre-built ML functions to drive insights with Snowflake.

1:45 PM IST | 4:15 PM SGT

Level 200 - Enhancing Feature Engineering with Snowflake and ML Modelling
Session Descriptor

A big part of data science and machine learning workflows is data pre-processing and transformation for creating useful features that serve as inputs for ML models. Once useful features are defined and computed, they need to be kept up to date with new data and used consistently with a single source of truth across all use cases and across teams.

 

In this session, we will show how Snowflake provides powerful functionality for supporting large-scale feature engineering through new capabilities for data transformation in Snowpark, and management of these features via feature store infrastructure linked to an end-to-end machine learning operations solution.

 

This helps you bring feature engineering to where your data is, reducing need for unnecessary data movement and taking advantage of Snowflake’s scalability, security, and governance.

                            THURSDAY 20 JULY
Delivering AI/ML
Without Tradeoffs

10:00 AM IST | 12:30 PM SGT

Level 100 - Operationalising Snowpark Python


Session Descriptor

With Snowpark Python many who attended Discover sessions would like to bring production workloads in Python to Snowflake. But, how? For instance, how should you think about the DataFrame API vs. user-defined functions vs. UDTFs?

 

In this session, you’ll learn core design principles for building capabilities on top of Snowpark Python (across data engineering, data science, and data application workloads).

10:45 AM IST | 1:15 PM SGT

Level 200 - Reduce Ingestion Costs with Snowpipe Streaming and Dynamic Tables
Session Descriptor

Snowpipe Streaming reduces ingestion cost as it is on demand compared to running a streaming receiver like Spark that is running 24-7-365.

 

These serverless features self-heal, which reduces the cost of maintenance as well. In this session, you’ll see an ingestion and transformation pipeline build that saves cost on streaming data using new Snowpipe Streaming and Dynamic Table functionality.

Deploying, Distributing and
Monetising Apps

11:30 AM IST | 2:00 PM SGT

Level 200 - What's New: Snowflake Native App Framework Demo - Deploying, Distributing and Monetising Apps
Session Descriptor

With the Snowflake Native App Framework you can now bring your application to your data, natively in the Data Cloud! In our prior Apps Discover sessions we looked at connected apps and now we look at the new Native App capabilities.

 

In this session we dive into the framework, user models and samples of how you can build Snowflake Native Apps, distribute and monetise them via Snowflake Marketplace.

12:15 PM IST | 2:45 PM SGT

Level 100 - Self-Service Analytics on Streamlit

Session Descriptor

Join this session to learn more about Self-Service Analytics, an application built using Streamlit that enables its users to create self-service visualisations.

 

Instead of spending time writing Python and SQL code to develop a dashboard or analytical report, this application automatically provides users with a simple selection-based GUI, helping create reports and interactive dashboards.

 

Join this session to learn how you can use Self-Service Analytics on Streamlit to create visually arresting charts, filters and aggregations-all out of the box. Learn about the benefits of saving and retrieving work any time you need it, helping replace licensed visualisation and reporting tools, and saving costs org-wide.

Delivering AI/ML
Simplifying Architectures

1:00 PM IST | 3:30 PM SGT

Level 100 - Introduction to what's possible with LLMs on Snowflake

Session Descriptor

In this session we look at Snowpark with a twist! Snowflake’s powerful data utilisation capabilities, combined with the productivity of ChatGPT, make many things easier to create and analyse.

This session was created by one of our local SE’s and is designed as a fun exploration of Snowpark.

1:45 PM IST | 4:15 PM SGT

Level 200 - Snowflake on Snowflake: A Streamlit App for Addressing Cyber Data Hygiene
Session Descriptor

Cybersecurity professionals need to shift from their obsession with just ingesting volumes of data to focus on the quality of data they are gathering.

 

But how does one define data quality? And how does one handle a lack of data quality which could result in a breach?

 

To understand, specify, monitor, and handle data-quality issues, Snowflake’s security and data science teams are leveraging Streamlit, Snowpark, and other Snowflake features to create a no-code, no-expertise-required solution.

 

This session will highlight how Snowflake’s security organisation leverages data science techniques that effortlessly dovetail with Snowflake’s features to present a novel approach to handling data quality at large volumes.

PRESENTERS + Q&A EXPERTS

Connect with me on LinkedIn

Natalie Mead has focused on building technical go to market data strategies at a global level for over 25 years. She helps companies extend their technical focus from features and details into large scale business solutions to drive material organization changes.

Currently, Natalie is the Vice President of the APJ Sales Engineering team at Snowflake where her team builds architectures around the Snowflake Data Cloud. Her focus ranges from Data Science, Data Engineering, Applications to Data Collaboration and Snowflake Marketplace Solutions.

Previously, Natalie was the Senior Director of the Global Field CTO Office at Snowflake, where she oversaw the programming and vision of Principal Architects in security and workload platforms within the Sales Engineering organization. She and her team focused on driving early vision and adoptions of the Snowflake Products and Engineering roadmap to the field and end users for a complete, actionable view of the Snowflake Data Cloud.

Natalie Mead

VP, Sales Engineering

Snowflake

Natalie Mead

VP, Sales Engineering

Snowflake

Connect with me on LinkedIn

David has spent over 20 years as a market specialist and business leader throughout the broad Asia Pacific and Japan regions. With a background as business leader and Chief Technologist he has been instrumental in defining and building software categories previously. He is now focused on the enormous opportunity the data cloud brings to business in Asia and helping evangelise the technical and business fundamentals to the broad community.

David Wakeman

Director, Product Marketing and Evangelist

Snowflake

David Wakeman

Director, Product Marketing and Evangelist

Snowflake

Nic is a Platform Performance Specialist within the Office of the Field CTO at Snowflake, working with our customers to optimise their Snowflake use and drive high quality outcomes. Nic has been with Snowflake for two years, with ten years of experience in distributed systems, data management and business intelligence. When not working, Nic is probably walking his dog or playing hockey (poorly).

LinkedIn: https://www.linkedin.com/in/nicholascrouch/

Nic Crouch

Architect, Data Performance, Field CTO Office

Snowflake

Nic Crouch

Architect, Data Performance, Field CTO Office

Snowflake

Venkat Suru

Principal Data Platform Architect, Field CTO Office

Snowflake

Venkat Suru

Principal Data Platform Architect, Field CTO Office

Snowflake

Regan is a Senior Sales Engineering Manager at Snowflake, The Data Cloud. Regan built his first Data Warehouse over twenty years ago, and has worked with many customers across the globe to architect and implement streaming, big data, and modern data warehouse solutions both on-premises and in the cloud. Prior to Snowflake, Regan spent several years with Microsoft, with the latter spent working on modern data architectures with some of Microsoft’s largest customers across the globe.

LinkedIn: https://www.linkedin.com/in/rmurphy/

Regan Murphy

Principal Sales Engineer

Snowflake

Regan Murphy

Principal Sales Engineer

Snowflake

Connect with me on LinkedIn

Based in Sydney, Chuang Zhu is an experienced Solutions Engineer with a demonstrated history of working in the information technology and services industry. With strong engineering and presales skills he has a broad exposure to Cloud Technologies, IoT, Integration, Databases, Data Warehousing, Business Intelligence, SQL, Architecture, Machine Learning, AI and Advanced Analytics.

Chuang Zhu

Senior Sales Engineer

Snowflake

Chuang Zhu

Senior Sales Engineer

Snowflake

Connect with me on LinkedIn

Ron Dunn is a Principal SE with Snowflake. He has more than 35 years of experience in data warehousing and analytics, across multiple countries, industries and platforms. Experienced in multiple data warehouse methodologies and architectures, Ron’s main interests are data engineering and performance.

Ron Dunn

Principal Architect, Field CTO Office

Snowflake

Ron Dunn

Principal Architect, Field CTO Office

Snowflake

Wasim El-Omari is a Cyber Security Field CTO at Snowflake, he is based in Melbourne Australia, working in a Global Team focusing primarily on the APJ region. Wasim has more than 20 years of experience in Cyber Security. He has a background in Security Operations, Incident Response, Digital Forensics and Cloud Security. He has Bachelor’s Degree in Electrical Engineering in Telecommunications and a Master’s Degree in Information Security with a focused interest in Data Governance, Risk Management & Incident Handling.

His career has taken him globally to different regions and has worked with Fortune 100 companies and Federal Agencies to design, implement and validate effective security programs. He is focused on the Data Cloud at Snowflake and the security that it is intrinsically built for addressing digitization challenges. He is passionate about being able to help customers address their digital challenges in the Snowflake Data Cloud.

LinkedIn: https://www.linkedin.com/in/wasim-elomari/

Wasim El-Omari

Principal Architect, Security, Field CTO Office

Snowflake

Wasim El-Omari

Principal Architect, Security, Field CTO Office

Snowflake

Murad is currently leading a team of talented sales engineers responsible for pre-sales functions at Snowflake India. He comes with wealth of experience and skill sets around Data Center Automation, Virtualization & Cloud technologies, Infrastructure Management, Cross management-domain architectures, and Team Management.

LinkedIn: https://www.linkedin.com/in/muradwagh/

Murad Wagh

Director, Sales Engineering

Snowflake

Murad Wagh

Director, Sales Engineering

Snowflake

Ritesh is a data professional who has spent his entire career of over 18 years crafting data driven solutions. Ritesh has deep experience in implementing numerous warehouse & BI projects spanning the first half of his career, most recently he has broadened his experience with a variety of roles in the data software vendor landscape. Ritesh is passionate about helping customers create data solutions over a variety of use cases including data governance, master data management, DevOps/MLOps and Cloud Data Platforms and Migration.

LinkedIn: https://www.linkedin.com/in/ritesh-shah-435b467b/

Ritesh Shah

Senior Sales Engineer

Snowflake

Ritesh Shah

Senior Sales Engineer

Snowflake

Connect with me on LinkedIn

Hemant Raorane is Sales Engineer in Snowflake. He has 8+ years of experience as a data and solution architect, covering big data, data governance & security , ETL/ELT along with data visualization. He has worked across industry with multiple customers and helped them to build robust and scalable solution for their data platform.

Hemant Raorane

Senior Sales Engineer

Snowflake

Hemant Raorane

Senior Sales Engineer

Snowflake

Navneet is a highly accomplished data platform expert in client centric Strategy & Analytics solution with extensive experience in Architecture, Consultancy and Delivery Management.
Expertise includes analytical solutions in Consumer Insight / Financial Planning / Revenue Assurance / Fraud Management.

He has designed and delivered innovative solutions for large scale organisations and now brings this experience to Snowflake customers in India.

LinkedIn: https://www.linkedin.com/in/navneet-srivastava-79865015/

Navneet Srivastava

Principal Solution Engineer

Snowflake

Navneet Srivastava

Principal Solution Engineer

Snowflake

Connect with me on LinkedIn

Experienced data professional with strong technical skills from analysis, consultancy, architecture and data science. Sarita has a demonstrated history of driving engagement and projects in the Financial Services and eCommerce industries. A detail-oriented specialist with outgoing personality, motivated by the potential of technology to drive changes to people’s lives.

Day to day work involves stakeholder management, problem definition and framing, solution design, data transformation and preparation, and occasionally some machine learning. Interested in domain of Data Science, Data Engineering, Architecture and Solutions.

Sarita Priyadarshini

Senior Solution Engineer

Snowflake

Sarita Priyadarshini

Senior Solution Engineer

Snowflake

Prashant Wate is a Senior Sales Engineer in Snowflake Inc. He has more than 20 years of experience in IT solutions development, architecture, database design, big data solutioning and technology consulting. Worked in various business verticals like BFSI, Manufacturing, Energy & Utilities, Retail & CPG, Telecom

Connect with me on LinkedIn

Prashant Wate

Senior Solution Engineer

Snowflake

Prashant Wate

Senior Solution Engineer

Snowflake

Connect with me on LinkedIn

Experienced Data Architect with expertise designing and building Big data platforms, Data pipelining for Advanced analytics/Data Science & BI uses cases, MLops, Dataops and Data Warehousing.

Prashant Yadav

Principal Architect, Data Engineering, Field CTO Office

Snowflake

Prashant Yadav

Principal Architect, Data Engineering, Field CTO Office

Snowflake

Sumeet Tandure is a Senior Manager, Sales Engineering at Snowflake and has been using his long experience in the industry to help Customers for their solve their toughest data requirements. He has a wide set of skills stretching across Data, Cloud, and Infrastructure technologies. He is a certified Architect on Snowflake Big Data technologies and an experienced presenter in the data domain. Passionate about data and based in Bangalore, he loves to learn and help customers in their data journey.

LinkedIn: https://www.linkedin.com/in/sumeettandure/

Sumeet Tandure

Senior Manager, Sales Engineering

Snowflake

Sumeet Tandure

Senior Manager, Sales Engineering

Snowflake

Kuldeep is a Principal Sales Engineer with Snowflake, based in Singapore covering Southeast Asia region. His experience of over two decades in the area of data and analytics includes solution design, architecture, data engineering, governance, administration and deployment of medium to large scale data platforms.

 

LinkedIn: https://www.linkedin.com/in/venati/

Kuldeep Venati

Principal Sales Engineer

Snowflake

Kuldeep Venati

Principal Sales Engineer

Snowflake

Connect with me on LinkedIn

Adrian is a Principal Sales Engineer based in Singapore working with enterprise customers in the financial services sector as well as high tech ‘digital natives’ across ASEAN. Adrian diligently works with customers to ensure that they see success in Snowflake’s Data Cloud from the initial architecture and design all the way to their go-live.

Adrian likes to combine DevOps practices with data and is recognised for the technical materials he produces integrating DevOps tooling and practices with Snowflake. Adrian is also highly passionate about learning and sharing all things data and cloud and has expanded his knowledge to a variety of solution stacks including Redshift, BigQuery, Redis and Kafka.

Adrian Lee

Manager, Solution Engineering

Snowflake

Adrian Lee

Manager, Solution Engineering

Snowflake

Connect with me on LinkedIn

Experienced Data Science professional with strong technical skills. Demonstrated history of driving engagement and projects in Financial Services, eCommerce industry. Detail-oriented specialist with outgoing personality. Motivated by the potential of technology to drive changes to people’s lives.

Day to day work involves stakeholder management, problem definition and framing, solution design, data transformation and preparation, and occasionally some machine learning.
Interested in domain of Data Science, Data Engineering, Architecture and Solutions

Changboon Heng

Senior Sales Engineer

Snowflake

Changboon Heng

Senior Sales Engineer

Snowflake

Connect with me on LinkedIn

Marko is a Principal Sales Engineer at Snowflake who brings years of experience working with customers across multiple disciplines including data integration, data platforms and data science. With industry experience spanning the telecommunications, banking, and retail sectors Marko now assists clients in their journey as data driven businesses.

Marko Slabak

Principal Sales Engineer

Snowflake

Marko Slabak

Principal Sales Engineer

Snowflake

LinkedIn: https://www.linkedin.com/in/phani-raj-9830a31b/

Phani Raj

Senior Data Cloud Architect – GSI Partners

Snowflake

Phani Raj

Senior Data Cloud Architect – GSI Partners

Snowflake

Connect with me on LinkedIn

Tim Buchhorn

Field CTO, APJ

Snowflake

Tim Buchhorn

Field CTO, APJ

Snowflake

Sasi Subramaniam

Senior Sales Engineer

Snowflake

Sasi Subramaniam

Senior Sales Engineer

Snowflake

Connect with me on LinkedIn

Daniel Ong

Senior Sales Engineer

Snowflake

Daniel Ong

Senior Sales Engineer

Snowflake

Nagesh Cherukuri

Principal Architect, Data Apps, Field CTO Office

Snowflake

Nagesh Cherukuri

Principal Architect, Data Apps, Field CTO Office

Snowflake

Charles Yorek

Principal Architect, Data Apps, Field CTO Office

Snowflake

Charles Yorek

Principal Architect, Data Apps, Field CTO Office

Snowflake

Michael Rhodes

Marketplace Business Development Principal

Snowflake

Michael Rhodes

Marketplace Business Development Principal

Snowflake

Meny Kobel

Principal Data Platform Architect

Snowflake

Meny Kobel

Principal Data Platform Architect

Snowflake

Allan Mitchell

Principal Data Platform Architect

Snowflake

Allan Mitchell

Principal Data Platform Architect

Snowflake

Abhishek Mishra is a Data science and Engineering Manager at Snowflake IT Data team and has been in the technology industry for over 15 Years. He has extensive experience in building data engineering and data Analytics artifacts, leveraging Data Engineering and Data warehousing concepts to solve business problems across the Retail, Marketing and Finance Domain. He has worked on services like Snowflake, Cloud data transformation and reporting applications along with leading teams for Data Science problems. Before Snowflake, he was the Data Manager for Nuance Technologies and Symantec, where he led BI team.

Abhishek Mishra

Data science and Engineering Manager

Snowflake

Abhishek Mishra

Data science and Engineering Manager

Snowflake

Connect with me on LinkedIn

Syarif Hidayatullah

Senior Sales Engineer

Snowflake

Syarif Hidayatullah

Senior Sales Engineer

Snowflake

Connect with me on LinkedIn

Innovation Catalyst; Get-Up-And-Go; Seasoned Public speaker; Platinum communicator with the ability to simplify the complexity; Passionate team player and an avid learner.

A firm believer in using data for ethical data science work and loves to materialize the benefits of advanced analytics and artificial intelligence (AI) systems not only in the corporate world but for the greater good of humanity. I’m also a keen advocate of automation, agile development work, containers, microservices, Continuous Integration & Development (CI/CD), and will get all excited when Big Data processes meet DevOps.

Specialties include:
• Technology focuses on Data management, Business Intelligence (BI), Data Science, Advanced Analytics, and Data visualization.
• Enabling business partners and customers with advisory in the data and technology domain.
• Conceptual to deep dive on solving business problems with data.
• Public speaking at technology events

Ismail Rahim

Senior Sales Engineer

Snowflake

Ismail Rahim

Senior Sales Engineer

Snowflake

LinkedIn: https://www.linkedin.com/in/ritabratasaha/

Ritabrata Saha

Senior Data Cloud Architect - GSI Partners

Snowflake

Ritabrata Saha

Senior Data Cloud Architect - GSI Partners

Snowflake

Prathamesh Nimkar

Senior Data Cloud Architect

Snowflake

Prathamesh Nimkar

Senior Data Cloud Architect

Snowflake

Yang Yang

Regional Vice President - Solution Engineering APJ specialists & Partners

Snowflake

Yang Yang

Regional Vice President - Solution Engineering APJ specialists & Partners

Snowflake

Connect with me on LinkedIn

Sagar Shirodkar

Analytics Tech Lead

Snowflake

Sagar Shirodkar

Analytics Tech Lead

Snowflake

Connect with me on LinkedIn

Senior engineer and builder at Snowflake – working on supercharging AI & ML with the cloud’s infinite horsepower.

James Choo

Senior Sales Engineer

Snowflake

James Choo

Senior Sales Engineer

Snowflake

 

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